Design of Experiments (DoE) simply explained

In this video, we discuss what Design of Experiments (DoE) is. We go through the most important process steps in a DoE project and discuss how a DoE helps you to reduce the number of experiments. We then discuss how you can estimate the number of experiments needed and we go through the most common experimental designs: Full factorial design, Fractional factorial design, Plackett-Burman Design, Box-Behnken Design, Central Composite Design.

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0:00 What is design of experiments?
3:12 Steps of DOE project
5:56 Types of Designs
6:26 Why design of experiments and why do you need statistics?
6:47 How are the number of experiments in a DoE estimated?
9:26 How can DoE reduce the number of runs?
10:09 What is a full factorial design?
12:04 What is a fractional factorial design?
15:27 What is the resolution of a fractional factorial design?
21:54 What is a Plackett-Burman design?
22:46 What is a Box-Behnken design?
24:00 What is a Central Composite Design?
24:34 Creating a DoE online

[abdelgaderalfallah]

Back in the days I had to pay a full fee just to attend a DOE classes however, I didn't get to understand a simple thing. The reason is that, they couldn't address the DOE principle as simple as this.
Words can't express my sincere gratitude for you at DataLab.
Keep it up guys, sharing knowledge is caring for everyone.
❤❤❤❤❤❤❤❤

[harshadkulkarni]

Excellent explanation with practical example

[alial-haideri]

Oh my God! Miss you are absloutely amazing teacher with perfect explaination

[tejasborawake]

Highly appreciated, how in easy steps DOE explained.

[murongyunhai]

Incredible video with such amazing clarity! Could you please also make some videos about screening and optimization, please?

[yashkutty]

Mam, am from India (Tamilnadu -chennai) super explanation

[kokhoongkan]

HIghlights:
12:00 Screening
20:00 Example

[Hk]

This is so helpful and useful for my research

[lianne]

Nice video! I was wondering: At 9:26, N= 2, 4 so you would do 2 +2 runs, but later N = 16 so you do 8 + 8 runs? What is the difference between both instances?

[yaneeang]

Hi there! incredible content here.. but i do have a question regarding case example at 19:55, i noted that there is a third factor, C, which was not discussed when introducing response analysis to determine if there are any interaction between A and B. How can we then interpret if there is an interaction of C with A and C with B to the response variable?

[Aswinviswanath]

10.04 16 effects for lubrication and 16 runs for temperature.... this makes it a total of 32 runs, but explained as 24 runs... could you please help to clarify..??

[TaoYi-kn]

I feel I become a expert after watching this video haha

[ahyungrocks]

Man I got lost half way in the video. Try re-watching with not luck.

[jakemohammd]

Hello, thank you very much for this wonderful video.

I have a question, for the equation that is used to estimate the number of runs needed that depends on standard deviation and the effect that is relevant to us).

Where do I get the standard deviation? Do I need to make a random number of runs first and then determine the standard deviation then use it in the equation?

[nda]

Mistake at 10:00, a total of 32 runs would be required, not 24 runs.

[nonstophiphopnonstophiphop]

I think my IQ just went up a couple of points, just getting half of this